Do Good Have Good! The Role of Idiosyncratic Deals to Improve Extra‐Role Performance: A Moderated Mediation Model
Bibliographic record
Abstract
ABSTRACT Considering dynamic changes and challenges for HR, drawing upon social exchange, we explored idiosyncratic deals (I‐deals). Specifically, we shed light on how I‐deals through deontic justice affect employees' organizational citizenship behaviour (OCB) with the conditional role of authoritarian leadership. We collected multi‐source multi‐wave data from 688 employees working in four Asian countries (i.e., China, India, Indonesia and Pakistan). We noted that employees' perception of I‐deals positively influences their citizenship behaviour and this relationship is mediated through deontic justice. We further noted that working under authoritarian leadership buffers the positive association between I‐deals and deontic justice. Our findings emphasize HR managers should offer I‐deals to employees and limit the authority of leaders. The management is further advised to arrange on‐the‐job training programs for leaders to seek feedback for further improvement.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".